A comparison of models for learning how to dynamically integrate multiple cues in order to forecast continuous criteria期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

A comparison of models for learning how to dynamically integrate multiple cues in order to forecast continuous criteria

Authors:	Hugh Kelley Jerome Busemeyer

Affiliation:	^a Copenhagen University, Frederiksberg C, Denmark ^b Indiana University, Bloomington, IN 47405, United States

Abstract:

Keywords:	Forecasting Least squares Neural network Model comparison Function learning Experiment
本文献已被 ScienceDirect 等数据库收录！